where \(\mathcal {L}_{prec}(*)\)  denotes the perceptual loss [1]}, and \(\mathcal {L}_{style}(*)\)  denotes the style loss [2]}. \(I_o\)  is the recovered image, while \(I_o^*\)  is its corresponding ground truth. \(\lambda _1\) , \(\lambda _2\) , \(\lambda _3\) , and \(\lambda _4\)  are hyper-parameters to balance the losses.
